Author

Elnaz Nourollahimoghadam

University of Southern CaliforniaORCID 0000-0002-2768-0179Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Neda JahanshadiD· 2 shared Paul M. ThompsoniD· 2 shared Abhinaav Ramesh· 1 shared Alyssa H. ZhuiD· 1 shared Amit SinghiD· 1 shared Ankush ShettyiD· 1 shared Christiaan de LeeuwiD· 1 shared Elizabeth HaddadiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersNeuroscience

Neda JahanshadORCID

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2 papers

Recent·Most cited

The Genetic Architecture of the Human Corpus Callosum and its Subregions

Ravi R. Bhatt, Shruti P. Gadewar, Ankush Shetty, Iyad Ba Gari, Elizabeth Haddad, Shayan Javid, Abhinaav Ramesh, Elnaz Nourollahimoghadam, Alyssa H. Zhu, Christiaan de Leeuw, Paul M. Thompson, Sarah Elizabeth Medland, Neda Jahanshad

The paper uses GWAS to identify genetic variants associated with corpus callosum morphometry and links them to cortical structure and neuropsychiatric disorders.

Nature Communications · Nov 4, 2025Peer-reviewedNeuroscience

Predicting Dementia Severity by Merging Anatomical and Diffusion MRI with Deep 3D Convolutional Neural Networks

Tamoghna Chattopadhyay, Amit Singh, Neha Ann Joshy, Sophia I. Thomopoulos, Talia M. Nir, Hong Zheng, Elnaz Nourollahimoghadam, Umang Gupta, Greg Ver Steeg, Neda Jahanshad, Paul M. Thompson, the Alzheimer’s Disease Neuroimaging Initiative

This paper uses deep 3D CNNs combining anatomical and diffusion MRI to predict dementia severity and brain age, finding that diffusion MRI improves performance over anatomical MRI alone.

International Symposium on Medical Information Processing and Analysis (SIPAIM) · Mar 6, 2023Peer-reviewedNeuroscience